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Update to lowercase MkDocs admonitions (#15990)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
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8
docs/en/datasets/detect/lvis.md
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@ -48,7 +48,7 @@ The LVIS dataset is widely used for training and evaluating deep learning models
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the LVIS dataset, the `lvis.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/lvis.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/lvis.yaml).
!!! Example "ultralytics/cfg/datasets/lvis.yaml"
!!! example "ultralytics/cfg/datasets/lvis.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/lvis.yaml"
@ -58,7 +58,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n model on the LVIS dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -93,7 +93,7 @@ The example showcases the variety and complexity of the images in the LVIS datas
If you use the LVIS dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -118,7 +118,7 @@ The [LVIS dataset](https://www.lvisdataset.org/) is a large-scale dataset with f
To train a YOLOv8n model on the LVIS dataset for 100 epochs with an image size of 640, follow the example below. This process utilizes Ultralytics' framework, which offers comprehensive training features.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"